Triple

T5492634
Position Surface form Disambiguated ID Type / Status
Subject Nico E123736 entity
Predicate recordLabel P1500 FINISHED
Object EMI E108006 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: EMI | Statement: [Nico, recordLabel, EMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMI
Context triple: [Nico, recordLabel, EMI]
  • A. EMI chosen
    EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
  • B. EMI America
    EMI America was a U.S.-based record label under the EMI umbrella, known for releasing popular rock and pop music during the late 20th century.
  • C. EMF
    EMF is the former name of the World Economic Forum, an international organization that engages political, business, and other leaders to shape global, regional, and industry agendas.
  • D. EMI Blackwood Music
    EMI Blackwood Music is a music publishing company that manages and licenses song copyrights for a wide range of artists and recordings.
  • E. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.